Habaznya commited on
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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4249
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- - Accuracy: 0.8735
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  ## Model description
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@@ -43,22 +43,24 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.8556 | 1.0 | 832 | 0.5433 | 0.8023 |
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- | 0.4575 | 2.0 | 1664 | 0.4270 | 0.8374 |
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- | 0.3937 | 3.0 | 2496 | 0.4206 | 0.8560 |
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- | 0.297 | 4.0 | 3328 | 0.4425 | 0.8608 |
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- | 0.2414 | 5.0 | 4160 | 0.4249 | 0.8735 |
 
 
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  ### Framework versions
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- - Transformers 4.41.0
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  - Pytorch 2.3.0+cu121
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- - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5330
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+ - Accuracy: 0.8769
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.8391 | 1.0 | 832 | 0.5759 | 0.7909 |
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+ | 0.4761 | 2.0 | 1664 | 0.4916 | 0.8333 |
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+ | 0.416 | 3.0 | 2496 | 0.4148 | 0.8551 |
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+ | 0.3095 | 4.0 | 3328 | 0.5365 | 0.8311 |
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+ | 0.2578 | 5.0 | 4160 | 0.4860 | 0.8621 |
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+ | 0.2211 | 6.0 | 4992 | 0.4994 | 0.8753 |
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+ | 0.1621 | 7.0 | 5824 | 0.5330 | 0.8769 |
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  ### Framework versions
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+ - Transformers 4.41.2
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  - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -39,7 +39,7 @@
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 119547
 
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 119547
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